If you manage a network, every network device generates a large volume of logs. These logs are extremely important and narrate a story about both events and the sequencing of those events within your network. This capability is critical for any network monitoring software, helping you easily understand network activities, user actions, security breaches, and much more.

Feature Highlights is a new addition to our ongoing series of webinars. As the name suggests, it’ll focus on specific product features with anonymized customer use cases taking center stage. In other words, how Cribl customers actually use the features to get the job done, sometimes in unintended ways. QuickConnect was the first act with a session “Streamline Connections w/ LogStream QuickConnect”.

In LogStream 3.0, we introduced a framework that provides a way for LogStream customers to build, reuse, and share configuration modules – including pipelines, lookups, data samples, and knowledge objects – called Packs. While each Pack has its own “context” containing custom pipelines, routes, lookups, variables, etc., it still retains access to built-in LogStream configuration that is shipped with the product.

Since we introduced AppScope in 2021, we’ve been relentlessly working towards the production-ready milestone. Last week we released AppScope 1.0. It’s been a long haul getting to this point. Not really sure if it took this long because we solved difficult problems, or if we’re just that slow. Someone told me that what we are doing would go a lot faster if we use a modern high-level language. Maybe … Can you imagine doing this in TypeScript? Yeah, me either.

Lambda is a top-rated compute service available on the AWS cloud service network. Its popularity largely derives from its ease of use, allowing users to run Lambda functions reliably without provisioning or managing servers. Lambda can be triggered manually or by any linked events in the AWS network, including DynamoDB streams, SQS, Kinesis, and more.

Our customers rely on Splunk’s mobile apps when they are on-call and troubleshooting in high-stress situations. Splunk’s customer base includes 96 of the Fortune 100 , many of whom rely directly on Splunk’s mobile app to help them solve outages or large scale performance problems. Therefore, they need a reliable quality of experience they have with our products and services. My team and I work on two mobile apps at Splunk: 1.

Whether you’re investigating an issue or simply exploring your data, the ability to perform advanced log analytics is key to uncovering patterns and insights. Datadog Log Management makes it easy to centralize your log data, which you can then manipulate and analyze to answer complex questions.

We were able to leverage the Node.js VM module to execute arbitrary JavaScript code with its own set of globals, separate from the running process’ globals.

The final stage of the popular Software Development Lifecycle after planning, analysis, design, and implementation is maintenance. This is where a full-fledged application running in production is constantly looked after and taken care of. Bugs, bottlenecks, slow database queries, security loopholes, and other issues are discovered and fixed before deploying the updated code. Log records and Application Performance Monitoring (APM) tools play a crucial role in software development maintenance.

IoT has rapidly moved from a fringe technology to a mainstream collection of techniques, protocols, and applications that better enable you to support and monitor a highly distributed, complex system. One of the most critical challenges to overcome is processing an ever-growing stream of analytics data, from IoT security data to business insights, coming from each device. Many protocols have been implemented for this, but could logs provide a powerful option for IoT data and IoT monitoring?

In this article, you’ll learn how to understand and debug the memory usage of a Node.js application and use monitoring tools to get a complete insight into what is happening with the heap memory and garbage collection. Here’s what you’ll get by the end of this tutorial. Memory leaks often go unnoticed. This is why I suggest using a tool to keep track of historical data of garbage collection cycles and to notify you if the heap memory usage starts spiking uncontrollably.

In Cribl LogStream 3.0, we introduced Packs! Packs are self-contained bundles of configurations that allow users to solve full use cases with minimal setup/configuration on their part.

Logging is an essential component of many applications. Every application has a different logging technique. You may prefer certain logging implementations, but you must also consider what to log, when to log, how much to log, and how to control logging. System administrators and developers, particularly the support team, benefit greatly from a well-designed logging system. For both the support team and the developers, logs save a lot of time.

All the applications that you’re trying to execute require memory. It doesn’t matter if the application was developed using assembly language. Or if you used a low-level programming language like C or a language compiled to a bytecode like Java. Running the application requires memory for the code itself, the variables, and the data that the code processes. Depending on your usage, the memory requirements will vary.

2021 was quite a year. Some things changed, and some things very much stayed the same. The world of cyber security was not immune to this zeitgeist, with some aspects of the threat landscape persisting and some rapidly changing and evolving. This piece will examine the key trends in the cybersecurity threat landscape that we saw over the last year.

We know the old adage: All data is security-relevant. But at what cost? Many organizations are still trying to get their arms around existing data flows and tooling to say nothing of new apps and data sources coming into play as we continue to migrate to the cloud. Working to get a complete picture of their security environments, many CISOs are forced to make painful decisions between staying within budget and getting complete security event visibility.

Why should only Dashboard Studio users get all the fun new features on Splunk Mobile and Splunk TV? To spread the cheer this new year, we brought the latest and greatest Mobile and TV features to IT Service Intelligence (ITSI) Glass Tables, so that you can view your ITSI data anywhere at any time!

In this roundup of the best dashboards powered by the Prometheus metrics monitoring system, we wanted to show you some of the best use cases for this ever-popular solution for time series metrics alerting.

In a previous post, we looked at an example of a fictional bookstore company and recommended mirroring strategies for that specific scenario. In this post, we’ll be looking at a fictional bank and recommended mirroring strategies for their network traffic. For a list of the most commonly used strategies, check out our traffic mirroring tutorial.

With the proliferation of security SaaS platforms, such as Cloudflare, Proofpoint, and PingOne, enterprises must figure out how to integrate third-party data shipped over the internet into their analytics and SIEM platforms. This requirement to integrate third-party data raises a host of security, infrastructure, and data quality questions. Enterprises can lower risk, and complete projects faster, by using Cribl LogStream Cloud to solve their challenges in managing third-party SaaS platform data.

Josh Minthorne is the co-founder and global technology director of Axcelinno, an IT technology consultancy and professional services company that helps organizations define and implement their DevSecOps adoption and cloud migration. Today, we're talking about why the security landscape has made companies hesitant to move to the cloud and what they can do to migrate with confidence.

Human operators utilizing traditional network monitoring software with methods like SNMP, ping, or flow tracking are still limited to diagnosis and triage issues within the four walls of the on-premise data center. But with increased adoption of cloud, SD-WAN and “work from anywhere,” application workloads are getting more distributed and creating network monitoring visibility gaps.

We hosted a webinar a few weeks back on using Cribl LogStream to make your security operations more scalable, efficient, and cost-effective. The turnout was fantastic and, while we answered most of the audience’s questions live, we couldn’t get to all of them. So I’ll go through the questions we couldn’t get to and offer some answers. Along the way, I’ll also share the results of two polling questions we asked during the webinar.

Every business from large enterprises through to small startups needs some level of log management in their day to day operations. For large-scale enterprises, Splunk has quickly become one of the most popular log management solutions globally. Splunk was developed for enterprise-level log analysis and Security Incident and Event Management (SIEM). The tool can also be used by medium-size enterprises as long as your organisation generates large volumes of machine data and log files.

I’m Tim, a Product Design Manager at LogDNA. My team is responsible for creating a beautiful and easy-to-navigate user interface so that you can easily access, and gain value from, your logs. We’ve been working on making our product’s navigation more accessible and are rolling out a mixture of subtle and more noticeable changes.

Splunk customers are security conscious organizations demanding enterprise-grade features for their global workforce. Today, we are excited to announce several Splunk Synthetic Monitoring updates, including: support for Single Sign-On (SSO) via SAML 2.0, Concealed Global Variables, and an updated synthetic browser version (Chrome 97).

Enterprises are dealing with a deluge of observability data for both IT and security. Worldwide, data is increasing at a 23% CAGR, per IDC. In 5 years, organizations will be dealing with nearly three times the amount of data they have today. There is a fundamental tension between enterprise budgets, growing significantly less than 23% a year, and the staggering growth of data.

Many logging solutions are available on the market to deal with log data, each focusing on a different part of the logging issue including log aggregation. These solutions are open-source and proprietary software and tools incorporated into cloud provider platforms, as well as a variety of capabilities to fulfill your requirements. Grafana Loki is a new industry solution, so let's take a closer look at what it is, where it originated from, and whether it can suit your logging requirements.

The term “off-label” is used to describe when a product is being used successfully for something other than its intended purpose. It’s a quite common occurrence in the pharmaceutical industry, but it can also happen in the world of software. Grafana Loki was written as — and is marketed as — a simple, Prometheus-friendly logging backend with a very low total cost of ownership.

We’re excited to announce the release of a major update to the Google Cloud Python logging library. v3.0.0 makes it even easier for Python developers to send and read logs from Google Cloud, providing real-time insights into what is happening in your application. If you’re a Python developer working with Google Cloud, now is a great time to try out Cloud Logging! If you're unfamiliar with the `google-cloud-logging` library, getting started is simple.

Loggly is a feature-rich log management platform that also offers a wealth of features including automated log summaries, custom derived fields, unlimited users, search & filters and email alerts. Loggly is often used to solve a variety of logging use cases including handling Meteor, Java, IIS, Docker and Apache logs.

In September 2021, the U.S. Department of Defense’s Iron Bank formally authorized Grafana, Grafana Enterprise, and Grafana Loki, allowing the 100,000 employees and contractors who work on DoD software, both classified and unclassified, to easily select and immediately deploy Grafana Labs software without additional approvals and security certifications. In our first-ever government session at ObservabilityCon 2021, former U.S.

You have to capture everything to investigate security issues thoroughly, right? More often than not, data that at one time was labeled irrelevant and thrown away is found to be the missing piece of the puzzle when investigating a malicious attacker or the source of an information leak. So, you need to capture every network packet.

If I had a penny for each time someone asked for a single pane of glass view across my 20 years in the application monitoring (now observability) space, and I would be retired instead of writing this blog. But, on the other hand, I’d be in big trouble if I paid out each time we failed we finished that ask.

Fluentd is an open-source data collector that unifies data collection and consumption. It has different types of plugins that retrieve logs from external sources, parse them, and send them to log management tools like Site24x7 AppLogs. tail, forward, udp, tcp, http, syslog, exec, and windows_eventlog are common input plugins.

When you’re working with large data sets, having that data structured in a way that means you can use software to process and understand it will enable you to derive insights far more quickly than any manual approach. Logfile data is no exception.

AWS announced CloudTrail Lake on January 5th, 2022, as a fully-managed solution for storing and querying CloudTrail logs. At first glance, it is straightforward to set up, can be enabled for all your organization’s accounts with a radio button, and keeps data for up to seven years by default! It’s a huge time saver and headache eliminator for many, as getting CloudTrail from all organization accounts to a SIEM can be tedious and time-consuming. But all this comes with a cost.

Our mission at Cribl is to unlock the value of all your observability and telemetry data, regardless of source or destination. We aim to give you choice and control over your data—because we know data has different value to different stakeholders at different times in the data lifecycle. Users are just scratching the surface in terms of the ways they are finding value from Cribl LogStream.